Foundations of Behavioral Research Quantitative Methods in Psychology) PDF

Rating: (10 reviews) Author: Fred N. Kerlinger ISBN : 9780155078970 New from $62.53 Format: PDF

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This text examines the fundamentals of solving a scientific research problem, focusing on the relationship between the problem and the research design. This edition includes new information about computer statistical software, multivariate statistics, research ethics, and writing research reports in APA style. This book is ideal for graduate students in that it covers statistics, research methodology, and measurement all in one volume. This is a book that graduate students will keep as a reference throughout their careers.

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• Series: Psy 200 (300) Quantitative Methods in Psychology
• Hardcover: 1008 pages
• Publisher: Cengage Learning; 4 edition (August 9, 1999)
• Language: English
• ISBN-10: 0155078976
• ISBN-13: 978-0155078970
• Product Dimensions: 1.4 x 7.6 x 9.4 inches
• Shipping Weight: 12.8 ounces (View shipping rates and policies)

Foundations of Behavioral Research Quantitative Methods in Psychology) PDF

Lee gives a six star performance by improving on what was already a five star performance in the third edition before Kerlinger's death.This is a must have book for anyone planning to do statistical analysis ,not only in psychology,but in the social sciences as well(especially economics).For example,Lee points out(pp.265,863)the importance of doing some type of test for goodness of fit(Chi- Square test,etc.)BEFORE a researcher assumes that he can make use of the normal probability distribution as an approximation of the data set at hand.This has not been the case in econometric time series studies of (a) financial markets(financial economics,portfolio analysis)or of(b) real,durable investment over the business cycle.The Black-Scholes equation and the CAPM model,both used as foundations in business finance courses in all countries worldwide, just assumes normality.The famous Keynes-Tinbergen debate about the logical foundations of econometrics in the Economic Journal of 1939-40 reveals that the founders of econometrics did not test the data correctly for normality.Keynes's comments about the necessity to demonstrate the uniformity,homogeneity,and stability of the time series data before any multiple regressions were run was ridiculed as the foolish ,out of date utterances of a once magnificient mind that had deteriorated by the late 1930's.Benoit Mandelbrot's massive data analysis,replicated by many different researchers in many different countries since the early 1970's,shows that the assumption of normality ,underlying statistical price data analysis done by economists in practically all financial markets(stocks,bonds,money,currency,exchange,commodities)over the last 60 years,is all wrong.There is one minor oversite in the fourth edition.